Team Stats

2023–24 Regular Season

Coach: Don Granato
Total Players: 34
Related2023–24 game results2023–24 standings
Season Summary

39-37-6, 84 points, a +1 goal differential.

BEST LINE
Tuch–Thompson–Peterka, 54.7% of 5v5 xG and 13-5 on goals
BEST PAIR
Johnson–Power, 57.2% of 5v5 xG and 6-2 on goals
PENALTIES
Drew 295, took 309 (-14)
Team Totals
244
243
+1
16.6%
79.8%
45.0%
2.96
8.8%
.914
1.002
GF
GA
DIFF
PP%
PK%
FO%
GAA
S% (5v5)
SV% (5v5)
PDO (5v5)
NHL
23rd
11th
17th
29th
13th
32nd
11th
14th
14th
17th
CONF
12th
5th
9th
13th
9th
16th
5th
8th
6th
8th
DIV
7th
3rd
6th
8th
4th
8th
3rd
6th
4th
6th
ALL-TIME
54th pct
52nd pct
43rd pct
26th pct
32nd pct
5th pct
79th pct
26th pct

All-time is where 2023–24 ranks among Sabres regular seasons, as a percentile: GF, GA and DIFF since 1970–71 (55 seasons), PP% and PK% since 1977–78 (48), FO% since 1997–98 (28), S% (5v5) and SV% (5v5) since 2009–10 (17). GF, GA and DIFF are relative to each season's league scoring. Higher is better, GA included.

Tuch–Thompson–Peterka
Best Line
54.7% of xG (6.93 to 5.73), 13-5 on goals and 185-165 on attempts in 154:00 together. Peterka, Thompson and Tuch scored 12 goals with the line out. Small sample.
Johnson–Power
Best D Pair
57.2% of xG (3.05 to 2.28), 6-2 on goals and 108-78 on attempts in 102:36 together. Power scored with the pair out. Small sample.
Goal differential
LEAGUE MED +2BUF +1-146+67
One dot per NHL team.
PDO (5v5)
LEAGUE MED 1.002BUF 1.0020.9701.028
One dot per NHL team.
Team Leaders

Skater Scatter

Any two stats, one dot per skater. What is xG?

Dot size is ice time per game. Above the dashed line: more Goals than xG. Shaded: ±1 SD of finishing luck.

X axis:
Y axis:
Forwards Defense
0.07.314.521.829.108162331Expected goals (ixG)Goals

30 skaters shown, 1 off the plot (no xG or Goals value).

More cuts on the Stats Playground scatter.

Goalies: Goals Against vs xGA

Green: fewer goals against than expected. Red: more.

xGAGoals Against
03877115153Ukko-Pekka LuukkonenUkko-Pekka Luukkonen: 138.5 xGAUkko-Pekka Luukkonen: 132 Goals Against (+6.5 vs expected)132 / 138.5Devon LeviDevon Levi: 68.1 xGADevon Levi: 67 Goals Against (+1.1 vs expected)67 / 68.1Eric ComrieEric Comrie: 28.1 xGAEric Comrie: 32 Goals Against (-3.9 vs expected)32 / 28.1
Games 1 (Oct 12) to 82 (Apr 15)

82 games.

Expected Goals

Season-to-date xG against goals, game by game. What is xG?

through 82 of 82 games
Drag to zoom

These stats don’t share a natural scale, so each line is normalized to its own 0-100% range for shape comparison. Hover a point for its real value.

-9.9-4.90.0Oct 12Oct 27Nov 11Nov 27Dec 11Dec 27Jan 13Feb 6Feb 23Mar 7Mar 21Apr 7vs NYR 1-5 L@ NYI 2-3 Lvs TBL 3-2 Wvs CGY 3-4 Lvs NYI 3-1 Wvs MTL 1-3 L@ OTT 6-4 W@ NJD 4-5 Lvs COL 4-0 W@ PHI 5-2 Wvs PHI 1-5 L@ TOR 6-4 W@ CAR 2-3 Lvs MIN 3-2 W@ PIT 0-4 Lvs BOS 2-5 L@ WPG 2-3 L@ CHI 3-2 W@ WSH 3-4 Lvs PIT 3-2 W@ NJD 2-7 L@ NYR 5-1 W@ STL 4-6 L@ CAR 2-6 Lvs NSH 1-2 Lvs DET 3-5 L@ BOS 3-1 Wvs MTL 2-3 Lvs ARI 5-2 W@ COL 1-5 L@ VGK 5-2 W@ ARI 0-2 Lvs CBJ 4-9 Lvs TOR 9-3 W@ NYR 3-4 Lvs BOS 1-4 Lvs CBJ 3-2 W@ OTT 1-5 L@ MTL 6-1 W@ PIT 3-1 Wvs SEA 2-5 Lvs OTT 5-3 Wvs VAN 0-1 Lvs SJS 3-0 Wvs CHI 3-0 Wvs TBL 1-3 L@ ANA 2-4 L@ LAK 5-3 W@ SJS 5-2 Wvs DAL 1-2 Lvs STL 1-3 Lvs LAK 7-0 Wvs FLA 0-4 L@ MIN 3-2 Wvs ANA 3-4 L@ MTL 3-2 W@ CBJ 2-1 Wvs CAR 3-2 W@ FLA 2-3 L@ TBL 3-2 Wvs VGK 7-2 Wvs WPG 2-5 L@ TOR 1-2 L@ NSH 2-4 Lvs EDM 3-2 Wvs DET 7-3 Wvs NYI 4-0 W@ DET 1-4 L@ SEA 6-2 W@ VAN 2-3 L@ EDM 3-8 L@ CGY 4-1 Wvs OTT 2-6 Lvs NJD 5-2 Wvs TOR 0-3 Lvs WSH 6-2 Wvs PHI 4-2 W@ DET 1-3 L@ DAL 2-3 Lvs WSH 4-2 W@ FLA 2-3 L@ TBL 4-2 WGamexG Differential (cumulative)

Running total, all situations. Ticks under the axis: green won, red lost.

Shot Map

Every BUF shot attempt this season, to scale, attacking right.

xG range
Shot on goal (size = xG)GoalMissed shot×Blocked shot

Win DNA

Yes-or-no box-score traits, and how often the Sabres won with and without each. Correlation, not cause.

How this is measured

Every counting stat runs higher in a win (you score more when you win), so each game gets a yes-or-no question instead, and the win rate when yes is set against the win rate when no. The gap is the lift, in percentage points. A trait can be a symptom of a good night as much as a reason for one. Shot-attempt share (CF%) is left out: in a single game the trailing team piles up attempts, so out-attempting the opponent has gone with a lower win rate.

39-43 in 82 decided games, 2023–24 regular season, with 6 of those losses in overtime or a shootout.
Wins (39)Losses (43, 6 in overtime or a shootout)
3+ scorersxG share 50%+, allGoalie > xGD combined 3+ ptsScored firstMore HD chances, allShot qualityDepth goal50%100%

The wider the gap on an axis, the more that trait separates a win from a loss.

The raw split, wins vs losses

The totals the table above deliberately doesn't lead with. Goals and points from both positions climb in wins, but the defense's share of the offense barely moves, which is why the question is who else scored, not whether the D did.

PER GAMEWINS (39)LOSSES (43)
Forward goals3.671.40
Defense goals0.670.35
Forward points8.333.35
Defense points2.771.33
Different goal scorers3.721.67
D share of points25%28%
D share of shots25%27%

Goal Differential Breakdown

Buffalo finished +1 over 82 games. Biggest pieces: power play efficiency -6.6, even-strength shot volume +5.2.

Added goalsCost goalsGoal differentialWhisker: one standard deviation of shot-outcome noise.
-20-100+10Goals0Start+5.2Even-strengthshot volume-5.0Even-strengthshot quality-2.6Penaltydifferential-6.6Power playefficiency-2.3Penalty killefficiency+4.1Finishing+3.2Goaltending+5.0Goaliepulled+1Goaldifferential
2023–24 REGULAR SEASON, GOALS
COMPONENTGOALSNOISE (ONE SD)REPEATS
Even-strength shot volume+5.2±4.4Usually
Even-strength shot quality-5.0n/aUsually
Penalty differential-2.6n/aSometimes
Power play efficiency-6.6n/aUsually
Penalty kill efficiency-2.3n/aUsually
Finishing+4.1±13.7Sometimes
Goaltending+3.2±14.0Sometimes
Goalie pulled+5.0n/aNot a skill
Unmodeled0.0n/an/a
Goal differential+1n/an/a

Repeats asks whether a team doing this in one half of a season keeps doing it in the other, league-wide.

How this is measured
Even-strength shot volume
Out-attempting opponents at even strength, with every unblocked attempt priced at the league's average even-strength shot for the season.
Even-strength shot quality
Getting better chances than opponents at even strength, beyond the attempt count.
Penalty differential
Discipline plus drawing: minutes up a skater minus minutes down, priced at the league's net xG per power-play minute.
Power play efficiency
Net xG on the power play above or below league-rate conversion of Buffalo's own power-play minutes, shorthanded chances conceded included.
Penalty kill efficiency
Net xG on the penalty kill above or below league-rate cost of Buffalo's own shorthanded minutes, shorthanded chances created included. Positive means fewer net chances conceded than the league would have.
Finishing
Goals scored above or below what Buffalo's chances were worth, goalie in the net.
Goaltending
Goals allowed below or above what opponents' chances were worth, goalie in the net.
Goalie pulled
Net goals with a goalie pulled: into an empty net, or by the extra attacker. Follows who was trailing late, not a skill of its own.
Unmodeled
Goals on shots the model could not score, plus any goal the shot list is missing.
  • 244 for, 243 against, regulation and overtime; the rows sum to the goal differential before rounding.
  • Built from 82 of 82 games with xG data; the official goal differential was +1.
  • Even-strength volume is priced at the league's average even-strength attempt for the season (0.0587 xG in 2023-24), and penalty differential at the league's net xG per power-play minute (0.097), both measured over every game in the league with the same model. Over the games covered, Buffalo's own games averaged 0.0605 xG per even-strength attempt; quality is what remains of the even-strength xG gap after volume.
  • Power-play and shorthanded minutes are read from the situation code on each play, both goalies in, which runs slightly above the official power-play figure because a penalty that expires between two plays is credited to the earlier state. The league rate per minute is priced on the same clock, so the two cancel.
  • Regulation and overtime goals only. A shootout's deciding goal is not a shot the model sees and is left out.
  • Shots at an empty net, and shots by a team with its own goalie pulled, count only as actual goals in the goalie-pulled bar. Both depend on who was trailing late, so they stay out of finishing, goaltending, special teams and even strength.
  • Goaltending leaves out shots taken while the opponent's goalie was pulled; those count only under Goalie pulled. The Goalies table's GSAx counts every shot faced, so it reads +3.7 against +3.2 here.
  • Whiskers on finishing and goaltending are one standard deviation of shot-outcome noise, each shot a coin flip weighted at its xG. The volume whisker is a Poisson approximation from the attempt counts. Quality, the three special-teams bars, goalie pulled and unmodeled carry no whisker.
  • Repeats asks how much of a component carries from one half of a team's season to the other, measured league-wide over 2016-17 to 2025-26 (314 team-seasons) with the same model: a split-half correlation, corrected to full-season length. Usually is 0.6 and above, sometimes 0.3 to 0.6, rarely below 0.3. Even a full season of finishing is about one third signal and two thirds shot-outcome luck.

Line Combinations

Lines and pairs at 5v5 this season, summed over every game together. 82 of 82 games have shift data.

What do TOI, CF, xG% etc. mean?
GP
Games in which this exact line/pair shared the ice together at 5v5.
TOI
Time on ice together at 5v5, meaning the whole line/pair on the ice at once, not any one player's own total. Only the seconds that exact pair or trio was the unit count, which is why a pair's TOI and xG% here differ slightly from the WOWY table, where together counts every 5v5 second the two share, whoever else is on the ice.
xGF / xGA
Expected goals for/against while this combo was on the ice, from this site's own xG model.
xG%
Share of on-ice expected goals this combo earned: xGF / (xGF + xGA). The single best read on who controlled play.
GF / GA
Actual goals for/against while this combo was on the ice together.
CF / CA (Corsi For / Against, Shot Attempts)
"Corsi" is just the hockey-analytics name for total shot attempts: shots on goal, missed shots, and blocked shots combined, a volume proxy for who had the puck more. CF is this combo's own attempts, CA is the opponent's.
CF%
Share of on-ice shot attempts (Corsi) this combo earned: CF / (CF + CA).
CF% Rel
This combo's CF% minus the team's own CF% in the minutes this exact combo was NOT on the ice. Positive means the combo lifted the team's play; negative means it dragged it down.
xGF% Rel
This combo's xG% minus the team's own xG% in the minutes this exact combo was NOT on the ice. Positive means the combo lifted the team's expected-goals share; negative means it dragged it down.
FF / FA
Unblocked shot attempts (also called Fenwick): shots on goal plus misses, excluding blocks. One layer closer to real scoring chances than CF/CA.
SF / SA
Shots on goal for/against while this combo was on the ice together.
Minimum Ice Time
Drag the slider on each table down to see combos with less shared ice time. Their percentages get noisier the lower you go, since a combo that barely played together can swing to 100% or 0% off a single shot.
STRENGTH
Forward Lines
Best at 5v5: Tuch–Thompson–Peterka, 54.7% of xG and 13-5 on goals (min 100:00 together and 0.25 xG, half that with a goal; units ahead on goals rank first, then the best mix of xG share and on-ice goals, weighted two to one).
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Skinner–Tuch–Thompson32233:476.886.7150.6%81027522155.4%5.3%0.4%197165140106
Cozens–Peterka–Benson26194:486.535.9152.5%4523418256.3%6.2%2.4%16912312283
Tuch–Thompson–Peterka18154:006.935.7354.7%13518516552.9%2.5%4.8%13211810374
Skinner–Tuch–Mittelstadt19141:505.875.6051.2%10916513155.7%5.4%1.1%132938971
Cozens–Quinn–Peterka20126:265.103.1262.0%10814613651.8%1.4%12.2%104958163
Greenway–Mittelstadt–Benson17113:503.443.0553.0%6410710550.5%0.0%2.9%75705249
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Defense Pairs
Best at 5v5: Johnson–Power, 57.2% of xG and 6-2 on goals (min 100:00 together and 0.25 xG, half that with a goal; units ahead on goals rank first, then the best mix of xG share and on-ice goals, weighted two to one).
LineGPTOIxGFxGAxG%GFGACFCACF%CF% RelxGF% RelFFFASFSA
Jokiharju–Power64485:4613.7815.5846.9%302444753945.3%-5.9%-3.7%308391228262
Jokiharju–Dahlin66485:3315.5910.8659.0%141253644154.9%5.1%9.9%388300259186
Samuelsson–Dahlin39434:3312.5712.7049.7%122141940550.8%0.4%-0.5%311282217190
Clifton–Bryson28291:547.666.7553.2%8724226447.8%-2.9%3.2%170186121120
Dahlin–Power62244:129.327.7354.7%151132221260.3%10.6%4.9%219161152110
Johnson–Clifton31195:344.808.3736.5%101016120544.0%-6.8%-14.5%11715794110
Clifton–Johnson31183:084.835.1748.3%6517518648.5%-2.1%-2.0%1271348281
Clifton–Power59181:166.025.9150.5%111218815554.8%4.5%0.3%1341069079
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With or Without You

Buffalo's 5v5 CF% and xGF% with Dahlin on the ice, with and without each teammate. Δ is together minus apart. That gap is always measured from the named player's side, so the same pair can read positive on one player's table and negative on the other's. 2023–24 regular season, minimum 20:00 together. Together counts every 5v5 second the two share, whoever else is on the ice, so a pair's time and xGF% here differ slightly from the Line Combinations table, which counts only the seconds that exact pair or trio was the unit. 82 of 82 games have shift data.

Teammate
TOGETHER
DAHLIN APART
IMPACT
TOI TogetherCF%xGF%CF%xGF%Δ CF%Δ xGF%
Tuch
505:0252.9%53.5%
54.1%54.6%
-1.2-1.1
Jokiharju
490:2855.0%59.3%
53.2%52.3%
+1.8+7.0
Peterka
457:3156.0%55.5%
52.8%53.7%
+3.2+1.8
Thompson
440:1555.4%54.5%
53.1%54.1%
+2.3+0.4
Samuelsson
437:5251.1%50.4%
54.7%55.6%
-3.6-5.2
Skinner
426:0052.1%51.6%
54.4%55.5%
-2.3-3.9
Mittelstadt
404:0653.1%54.3%
53.9%54.2%
-0.8+0.1
Cozens
387:1153.7%53.2%
53.7%54.6%
0.0-1.4
Greenway
358:0750.1%57.0%
54.7%53.5%
-4.6+3.5
Benson
332:5558.4%59.0%
52.5%52.8%
+5.9+6.2
Krebs
307:4357.4%54.8%
52.9%54.1%
+4.5+0.7
Power
251:1260.2%54.8%
52.4%54.1%
+7.8+0.7
Girgensons
249:1753.9%48.8%
53.7%55.0%
+0.2-6.2
Okposo
231:4953.5%47.2%
53.8%55.2%
-0.3-8.0
Olofsson
176:3050.8%57.8%
54.1%53.9%
-3.3+3.9
Jost
146:0147.1%61.2%
54.3%53.7%
-7.2+7.5
Robinson
139:1650.0%42.0%
54.1%55.1%
-4.1-13.1
Byram
137:4151.3%54.2%
54.0%54.3%
-2.7-0.1
Quinn
125:5256.2%59.5%
53.5%53.8%
+2.7+5.7
Johnson
103:0151.8%53.4%
53.9%54.3%
-2.1-0.9
Clifton
99:4553.0%56.5%
53.8%54.1%
-0.8+2.4
Rousek
52:2953.7%62.6%
53.7%54.0%
0.0+8.6
Bryson
45:0748.0%48.8%
53.9%54.4%
-5.9-5.6
Johnson
40:2442.9%48.1%
54.1%54.5%
-11.2-6.4

Shift Profile

Shift length and on-ice results, 2023–24 regular season. Empty-net goals against are left out. 82 of 82 games have shift data.

What do Short %, Hemmed-In Shifts, Long-Change Gap etc. mean?
GP (shifts)
Games in which the NHL shift chart has rows for this skater. It can read lower than the games played in the Skaters table, because a game with no usable shift chart is left out of every column here.
Short / Long
"Short" is a skater's shifts under 0:45; "Long" is their shifts of 1:00 or more. Short % / Long % is the share of all their shifts that fall in that range.
CF% (short) / CF% (long)
Shot-attempt share (Corsi) specifically during a skater's own short shifts versus their own long shifts. Compares whether they generate or allow more when the shift is quick versus when it drags on.
GF-GA (long)
Goals for minus goals against specifically during a skater's shifts of 1:00 or more. A single-game or short-series number here is a very small sample; look for it to hold up across a season.
PP Shifts / PK Shifts
Number of shifts a skater started while their team had a power play or was shorthanded, tagged by the strength in effect at the moment they stepped on the ice.
Long-Change Gap
This skater's average 2nd-period shift length minus the average of their 1st and 3rd. Positive means their shifts really do run longer in the 2nd, but that period is the "long change" (the bench sits at center ice, so whichever team is defending the far end can't change on the fly as easily), so a positive gap isn't automatically fatigue.
Hemmed-In Shifts
Even-strength shifts in which the unit was on for more than 60 seconds of unbroken play: no whistle came, so they could not change. The number in parentheses is how many of those only ended at a whistle. Most of such a shift is ordinary play: the first minute looks like any other stretch of the game, and only the time past it tilts hard toward the defending end (the game page counts that as pinned time). Shift length is an outcome here, not a cause, so this column says nothing about why a goal went in.
Short-Rest Shifts
Even-strength shifts a skater started after less than 45 seconds on the bench, same period only (an intermission is a full rest). Power-play and penalty-kill units legitimately take long shifts and short rests, so both of these columns leave them out.
PlayerGP (shifts)ShiftsAvg ShiftShort %Long %CF% (short)CF% (long)GF-GA (long)PP ShiftsPK ShiftsLong-Change GapHemmed-In ShiftsShort-Rest Shifts
R. Dahlin8123360:5342.5%31.9%49.2%63.7%+22190188+7s322 (88 to whistle)418
O. Power7620710:5042.2%28.9%49.4%49.3%-4172224+5s315 (90 to whistle)286
H. Jokiharju7417920:4747.9%23.2%47.6%47.5%-369142+2s236 (56 to whistle)196
A. Tuch7517320:5141.4%29.8%49.5%58.1%+13180209+3s228 (53 to whistle)83
D. Cozens7917020:4845.5%23.7%48.8%53.3%-3184198+1s178 (46 to whistle)74
C. Clifton7916690:4747.5%25.1%44.9%43.2%+616238+3s283 (70 to whistle)114
J. Peterka8215780:5138.8%34.7%51.4%59.2%+417430+1s324 (88 to whistle)79
T. Thompson7115150:5140.0%30.8%51.5%63.9%+10145142+2s233 (54 to whistle)62
J. Skinner7414230:5041.7%29.0%52.0%63.2%+1118133+7s212 (47 to whistle)45
J. Greenway6714010:4941.6%27.1%42.2%41.1%+478255+4s184 (43 to whistle)61
C. Mittelstadt6213000:5237.5%33.4%50.2%62.5%+1814650+3s229 (58 to whistle)58
P. Krebs8012970:4644.8%25.8%51.6%51.8%-48583+2s214 (40 to whistle)35
Z. Benson7112860:4842.5%27.2%52.7%55.2%-68699+3s233 (52 to whistle)40
K. Okposo6110910:4647.0%20.0%51.9%50.8%-6121111+1s119 (26 to whistle)22
Z. Girgensons6310600:4256.9%14.2%46.6%41.5%+336128+2s102 (26 to whistle)23
M. Samuelsson4110340:4944.1%26.0%50.6%37.2%-524138+4s137 (40 to whistle)169
E. Johnson509360:4456.4%18.7%39.5%29.8%09189+3s77 (18 to whistle)47
V. Olofsson517480:4743.9%24.3%55.0%48.3%-28111+1s98 (20 to whistle)17
R. Johnson417200:4748.8%24.6%52.3%50.2%+21419+5s138 (27 to whistle)59
J. Bryson367110:4553.4%19.4%49.1%39.6%-1758+4s99 (21 to whistle)50
T. Jost436110:4548.4%19.0%43.2%37.2%-422490s81 (21 to whistle)13
E. Robinson405620:4743.6%24.4%58.4%45.1%-61025+3s102 (24 to whistle)16
J. Quinn275310:4845.2%23.0%50.9%54.2%+15951+2s63 (11 to whistle)19
B. Byram184700:5043.0%28.1%39.9%56.2%+14045+4s69 (20 to whistle)52
L. Rousek152000:4840.5%25.0%53.7%40.2%035+2s38 (5 to whistle)5
B. Biro5820:4058.5%8.5%27.5%27.3%+106+11s4 (1 to whistle)2
I. Rosen7780:4647.4%19.2%57.9%18.9%-111+4s12 (4 to whistle)0
K. Clague3470:4746.8%19.1%59.3%42.1%011+3s8 (1 to whistle)1
B. Murray2230:4256.5%8.7%62.5%100.0%010-3s00
J. Kulich1160:5637.5%43.8%0.0%28.6%-100-3s6 (1 to whistle)0
M. Savoie150:4740.0%40.0%50.0%50.0%000-2s20

Skaters

PlayerNo.GPGAPTS+/-PIMPPSHGWGSOGG/60A/60P/60SOG/60S%FO%TOI/GxGxG/60GAx
Alex Tuch8975223759+9542171920.901.522.427.8811.5%40.0%19:3023.00.94-1.0
Rasmus Dahlin2681203959-3666022350.581.141.726.858.5%0.0%25:2514.90.44+5.1
Tage Thompson7271292756-1439232461.351.262.6111.4711.8%43.3%18:0726.91.26+2.1
JJ Peterka7782282250+10283052261.250.982.2310.0912.4%20.0%16:2423.01.03+5.0
Casey Mittelstadt3762143347+12282011020.741.752.495.4013.7%47.1%18:1612.60.67+1.4
Dylan Cozens2479182947-4422312000.791.282.078.829.0%45.5%17:1423.81.05-5.8
Jeff Skinner5374242246-2348032111.221.122.3310.7011.4%41.9%16:0022.41.14+1.6
Owen Power257662733+8280011080.210.931.143.725.6%0.0%22:557.80.27-1.8
Zach Benson971111930-336001980.641.111.755.7011.2%29.4%14:3114.40.84-3.4
Jordan Greenway1267101828+11641011070.520.931.455.559.3%29.8%17:1511.70.61-1.7
Kyle Okposo2161121022+1322101060.870.721.597.6611.3%47.6%13:3710.60.77+1.4
Henri Jokiharju107431720+1424001840.130.730.853.593.6%0.0%18:593.00.130.0
Jack Quinn222791019-18102561.281.422.707.9616.1%33.3%15:387.81.11+1.2
Connor Clifton757941418+1288001770.180.640.833.535.2%0.0%16:334.00.190.0
Peyton Krebs198041317+267002740.240.781.024.445.4%46.3%12:306.30.38-2.3
Victor Olofsson71517815-14101660.710.811.536.7110.6%0.0%11:346.00.61+1.0
Zemgus Girgensons28638614-121003730.640.481.135.8711.0%47.7%11:517.00.57+1.0
Eric Robinson40279019000520.270.951.237.093.8%50.0%11:005.60.76-3.6
Bowen Byram418369-113000210.460.921.373.2014.3%0.0%21:512.10.31+0.9
Jacob Bryson7836178+58000150.110.790.911.706.7%0.0%14:410.40.05+0.6
Mattias Samuelsson2341167+426001440.070.430.503.142.3%0.0%20:301.40.10-0.4
Ryan Johnson3341077+312000350.000.740.743.690.0%0.0%13:521.40.14-1.4
Tyson Jost1743336-1110000480.400.400.796.326.3%42.6%10:364.10.54-1.1
Erik Johnson50303-524001400.260.000.263.487.5%0.0%13:481.40.12+1.6
Lukas Rousek1315022-1000040.000.750.751.510.0%100.0%10:380.40.17-0.4
Brandon Biro1752020000022.210.002.212.21100.0%47.8%10:511.21.29+0.8
Kale Clague3830110200020.001.631.633.260.0%0.0%12:160.10.16-0.1
Brett Murray812000-1200010.000.000.003.770.0%100.0%7:580.20.60-0.2
Isak Rosen7000-3000080.000.000.007.990.0%16.7%8:350.50.53-0.5
Jiri Kulich201000-1000010.000.000.004.030.0%0.0%14:530.00.080.0
Matt Savoie10000000000.0%3:55
Total2443906347833773725349.6%

Goalies

PlayerNo.GPWLOTLGAASV%SOxGAGSAx
Ukko-Pekka Luukkonen154272242.57.9105138.5+6.5
Devon Levi272310823.10.899068.1+1.1
Eric Comrie31102703.69.874028.1-3.9
Total393765

A goalie is credited a game played for any appearance, relief included, so GP sums above the team's own games played by the number of relief outings. The Total row leaves GP out for that reason.

xG by Game

DateOpponentScorexG ForxG AgainstxG DiffGoal DiffGD vs xG Diff
Oct 12vs NYR1-51.763.82-2.06-4-1.94
Oct 14@ NYI2-31.851.88-0.03-1-0.97
Oct 17vs TBL3-22.803.37-0.57+1+1.57
Oct 19vs CGY3-42.303.54-1.24-1+0.24
Oct 21vs NYI3-13.832.20+1.63+2+0.37
Oct 23vs MTL1-33.343.30+0.04-2-2.04
Oct 24@ OTT6-42.743.07-0.33+2+2.33
Oct 27@ NJD4-52.763.01-0.25-1-0.75
Oct 29vs COL4-03.172.00+1.17+4+2.83
Nov 1@ PHI5-22.403.23-0.83+3+3.83
Nov 3vs PHI1-52.542.29+0.25-4-4.25
Nov 4@ TOR6-45.293.04+2.25+2-0.25
Nov 7@ CAR2-32.063.44-1.38-1+0.38
Nov 10vs MIN3-22.244.48-2.24+1+3.24
Nov 11@ PIT0-42.365.08-2.72-4-1.28
Nov 14vs BOS2-53.383.86-0.48-3-2.52
Nov 17@ WPG2-33.742.52+1.22-1-2.22
Nov 19@ CHI3-21.672.20-0.53+1+1.53
Nov 22@ WSH3-43.092.67+0.42-1-1.42
Nov 24vs PIT3-24.712.68+2.03+1-1.03
Nov 25@ NJD2-71.074.26-3.19-5-1.81
Nov 27@ NYR5-14.102.11+1.99+4+2.01
Nov 30@ STL4-64.273.63+0.64-2-2.64
Dec 2@ CAR2-61.534.51-2.98-4-1.02
Dec 3vs NSH1-23.062.95+0.11-1-1.11
Dec 5vs DET3-51.933.17-1.24-2-0.76
Dec 7@ BOS3-12.502.73-0.23+2+2.23
Dec 9vs MTL2-34.663.16+1.500-1.50
Dec 11vs ARI5-25.162.02+3.14+3-0.14
Dec 13@ COL1-52.163.18-1.02-4-2.98
Dec 15@ VGK5-22.445.11-2.67+3+5.67
Dec 16@ ARI0-22.604.05-1.45-2-0.55
Dec 19vs CBJ4-92.263.03-0.77-5-4.23
Dec 21vs TOR9-34.162.42+1.74+6+4.26
Dec 23@ NYR3-43.143.35-0.21-1-0.79
Dec 27vs BOS1-42.272.86-0.59-3-2.41
Dec 30vs CBJ3-23.761.52+2.24+1-1.24
Dec 31@ OTT1-52.872.91-0.04-4-3.96
Jan 4@ MTL6-13.893.46+0.43+5+4.57
Jan 6@ PIT3-12.773.81-1.04+2+3.04
Jan 9vs SEA2-52.372.16+0.21-3-3.21
Jan 11vs OTT5-33.391.35+2.04+2-0.04
Jan 13vs VAN0-12.532.74-0.21-1-0.79
Jan 15vs SJS3-04.192.52+1.67+3+1.33
Jan 18vs CHI3-02.552.13+0.42+3+2.58
Jan 20vs TBL1-32.023.40-1.38-2-0.62
Jan 23@ ANA2-43.303.63-0.33-2-1.67
Jan 24@ LAK5-32.363.20-0.84+2+2.84
Jan 27@ SJS5-23.792.06+1.73+3+1.27
Feb 6vs DAL1-23.844.01-0.17-1-0.83
Feb 10vs STL1-32.352.85-0.50-2-1.50
Feb 13vs LAK7-03.982.91+1.07+7+5.93
Feb 15vs FLA0-42.733.85-1.12-4-2.88
Feb 17@ MIN3-22.793.02-0.23+1+1.23
Feb 19vs ANA3-44.071.61+2.46-1-3.46
Feb 21@ MTL3-22.402.63-0.23+1+1.23
Feb 23@ CBJ2-12.992.43+0.56+1+0.44
Feb 25vs CAR3-23.202.50+0.700-0.70
Feb 27@ FLA2-31.883.15-1.27-1+0.27
Feb 29@ TBL3-22.062.04+0.02+1+0.98
Mar 2vs VGK7-23.642.52+1.12+5+3.88
Mar 3vs WPG2-52.344.05-1.71-3-1.29
Mar 6@ TOR1-22.272.52-0.25-1-0.75
Mar 7@ NSH2-41.983.48-1.50-2-0.50
Mar 9vs EDM3-23.633.13+0.500-0.50
Mar 12vs DET7-33.132.51+0.62+4+3.38
Mar 14vs NYI4-03.701.51+2.19+4+1.81
Mar 16@ DET1-42.743.16-0.42-3-2.58
Mar 18@ SEA6-23.073.46-0.39+4+4.39
Mar 19@ VAN2-31.316.04-4.73-1+3.73
Mar 21@ EDM3-82.705.35-2.65-5-2.35
Mar 24@ CGY4-14.002.24+1.76+3+1.24
Mar 27vs OTT2-62.994.51-1.52-4-2.48
Mar 29vs NJD5-24.082.72+1.36+3+1.64
Mar 30vs TOR0-32.882.51+0.37-3-3.37
Apr 2vs WSH6-23.522.32+1.20+4+2.80
Apr 5vs PHI4-24.032.97+1.06+2+0.94
Apr 7@ DET1-32.733.66-0.93-2-1.07
Apr 9@ DAL2-31.542.69-1.15-1+0.15
Apr 11vs WSH4-23.172.23+0.94+2+1.06
Apr 13@ FLA2-32.004.08-2.08-1+1.08
Apr 15@ TBL4-25.113.36+1.75+2+0.25

All situations. GD vs xG Diff is goal differential minus xG differential. Both difference columns are taken from the values printed beside them, so each row adds up as shown.